The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-28"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "5808946 (up from 5691790 yesterday: 2.06 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "360308 (up from 355629 yesterday: 1.32 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.2



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1721753 22577 1.33 101616 1198 1.19 5.90
Brazil 438238 26417 6.41 26754 1156 4.52 6.10
Russia 379051 8371 2.26 4142 174 4.39 1.09
United Kingdom 270508 1889 0.70 37919 377 1.00 14.02
Spain 237906 1647 0.70 27119 2 0.01 11.40
Italy 231732 593 0.26 33142 70 0.21 14.30
France 186364 3326 1.82 28665 66 0.23 15.38
Germany 182196 672 0.37 8470 42 0.50 4.65
India 165386 7300 4.62 4711 177 3.90 2.85
Turkey 160979 1182 0.74 4461 30 0.68 2.77
Iran 143849 2258 1.59 7627 63 0.83 5.30
Peru 141779 5874 4.32 4099 116 2.91 2.89
Canada 89976 987 1.11 6982 106 1.54 7.76
Chile 86943 4654 5.66 890 49 5.83 1.02
China 84106 0 0.00 4638 0 0.00 5.51
Mexico 81400 3377 4.33 9044 447 5.20 11.11
Saudi Arabia 80185 1644 2.09 441 16 3.76 0.55
Pakistan 61227 2076 3.51 1260 35 2.86 2.06
Belgium 57849 257 0.45 9388 24 0.26 16.23
Qatar 50914 1967 4.02 33 3 10.00 0.06
Netherlands 46152 182 0.40 5922 32 0.54 12.83
Bangladesh 40321 2029 5.30 559 15 2.76 1.39
Belarus 39858 902 2.32 219 5 2.34 0.55
Ecuador 38471 368 0.97 3313 38 1.16 8.61
Sweden 35727 639 1.82 4266 46 1.09 11.94
Singapore 33249 373 1.13 23 0 0.00 0.07
United Arab Emirates 32532 563 1.76 258 3 1.18 0.79
Portugal 31596 304 0.97 1369 13 0.96 4.33
Switzerland 30796 20 0.06 1919 2 0.10 6.23
South Africa 27403 1466 5.65 577 25 4.53 2.11
Ireland 24841 38 0.15 1639 8 0.49 6.60
Indonesia 24538 687 2.88 1496 23 1.56 6.10
Colombia 24141 37 0.15 833 30 3.74 3.45
Kuwait 24112 845 3.63 185 10 5.71 0.77
Poland 22825 352 1.57 1038 10 0.97 4.55
Ukraine 22382 477 2.18 669 11 1.67 2.99
Egypt 20793 1127 5.73 845 29 3.55 4.06
Romania 18791 197 1.06 1235 8 0.65 6.57
Israel 16872 79 0.47 284 3 1.07 1.68
Austria 16628 37 0.22 668 23 3.57 4.02
Japan 16598 -53 -0.32 881 23 2.68 5.31
Dominican Republic 16068 345 2.19 485 11 2.32 3.02
Philippines 15588 539 3.58 921 17 1.88 5.91
Argentina 14702 769 5.52 508 8 1.60 3.46
Afghanistan 13036 580 4.66 235 8 3.52 1.80
Panama 12131 403 3.44 320 5 1.59 2.64
Denmark 11712 32 0.27 568 3 0.53 4.85
Korea, South 11402 58 0.51 269 0 0.00 2.36
Serbia 11300 25 0.22 241 1 0.42 2.13
Bahrain 10052 360 3.71 15 0 0.00 0.15
Kazakhstan 9576 272 2.92 37 0 0.00 0.39
Czechia 9140 54 0.59 319 2 0.63 3.49
Oman 9009 636 7.60 40 1 2.56 0.44
Algeria 8997 140 1.58 630 7 1.12 7.00
Nigeria 8915 182 2.08 259 5 1.97 2.91
Norway 8411 10 0.12 236 1 0.43 2.81
Bolivia 8387 619 7.97 293 13 4.64 3.49
Armenia 8216 442 5.69 113 15 15.31 1.38
Moldova 7725 188 2.49 282 8 2.92 3.65
Morocco 7643 42 0.55 202 0 0.00 2.64
Malaysia 7629 10 0.13 115 0 0.00 1.51
Ghana 7303 0 0.00 34 0 0.00 0.47
Australia 7165 15 0.21 103 0 0.00 1.44
Finland 6743 51 0.76 313 0 0.00 4.64
Iraq 5457 322 6.27 179 4 2.29 3.28
Cameroon 5436 0 0.00 175 0 0.00 3.22
Azerbaijan 4759 191 4.18 56 2 3.70 1.18
Honduras 4752 112 2.41 196 2 1.03 4.12
Guatemala 4348 203 4.90 80 12 17.65 1.84
Sudan 4346 0 0.00 195 0 0.00 4.49
Luxembourg 4008 7 0.17 110 0 0.00 2.74
Hungary 3816 23 0.61 509 4 0.79 13.34
Tajikistan 3563 139 4.06 47 0 0.00 1.32
Guinea 3553 278 8.49 22 2 10.00 0.62
Uzbekistan 3444 75 2.23 14 0 0.00 0.41
Senegal 3348 95 2.92 39 1 2.63 1.16
Thailand 3065 11 0.36 57 0 0.00 1.86
Djibouti 2914 217 8.05 20 2 11.11 0.69
Greece 2906 3 0.10 175 2 1.16 6.02
Congo (Kinshasa) 2660 114 4.48 69 1 1.47 2.59
Cote d’Ivoire 2641 85 3.33 32 1 3.23 1.21
Bulgaria 2477 17 0.69 134 1 0.75 5.41
Bosnia and Herzegovina 2462 27 1.11 153 2 1.32 6.21
Gabon 2431 112 4.83 14 0 0.00 0.58
Croatia 2245 1 0.04 102 1 0.99 4.54
El Salvador 2194 85 4.03 39 0 0.00 1.78
North Macedonia 2077 38 1.86 121 2 1.68 5.83
Cuba 1983 9 0.46 82 0 0.00 4.14
Estonia 1851 11 0.60 66 0 0.00 3.57
Somalia 1828 97 5.60 72 5 7.46 3.94
Iceland 1805 0 0.00 10 0 0.00 0.55
Lithuania 1656 9 0.55 68 2 3.03 4.11
Kenya 1618 147 9.99 58 3 5.45 3.58
Kyrgyzstan 1594 74 4.87 16 0 0.00 1.00
Sri Lanka 1530 61 4.15 10 0 0.00 0.65
Slovakia 1520 5 0.33 28 0 0.00 1.84
Maldives 1513 56 3.84 5 0 0.00 0.33
New Zealand 1504 0 0.00 22 0 0.00 1.46
Slovenia 1473 2 0.14 108 0 0.00 7.33
Venezuela 1325 80 6.43 11 0 0.00 0.83
Haiti 1320 0 0.00 34 0 0.00 2.58
Guinea-Bissau 1195 0 0.00 8 1 14.29 0.67
Mali 1194 78 6.99 72 2 2.86 6.03
Lebanon 1168 7 0.60 26 0 0.00 2.23
Albania 1076 26 2.48 33 0 0.00 3.07
Tunisia 1068 17 1.62 48 0 0.00 4.49
Latvia 1061 4 0.38 24 1 4.35 2.26
Zambia 1057 0 0.00 7 0 0.00 0.66
Kosovo 1048 1 0.10 30 0 0.00 2.86
Equatorial Guinea 1043 0 0.00 12 0 0.00 1.15
Nepal 1042 156 17.61 5 1 25.00 0.48
Costa Rica 1000 16 1.63 10 0 0.00 1.00

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 366733 1768 0.48 29529 45 0.15 8.05 18851.72 1517.92 1 in 53
New Jersey 157185 557 0.36 11409 70 0.62 7.26 17696.65 1284.48 1 in 57
Illinois 115833 1527 1.34 5186 103 2.03 4.48 9140.99 409.25 1 in 109
California 103813 2763 2.73 3993 98 2.52 3.85 2627.36 101.06 1 in 381
Massachusetts 94895 675 0.72 6640 93 1.42 7.00 13654.93 955.46 1 in 73
Pennsylvania 74220 663 0.90 5373 108 2.05 7.24 5797.54 419.70 1 in 172
Texas 60395 1853 3.17 1611 30 1.90 2.67 2082.88 55.56 1 in 480
Michigan 56014 406 0.73 5372 38 0.71 9.59 5608.77 537.91 1 in 178
Florida 53285 651 1.24 2364 45 1.94 4.44 2480.94 110.07 1 in 403
Maryland 49709 1286 2.66 2428 36 1.51 4.88 8222.23 401.61 1 in 122
Georgia 45266 628 1.41 1973 40 2.07 4.36 4263.37 185.83 1 in 235
Connecticut 41559 271 0.66 3826 23 0.60 9.21 11656.57 1073.13 1 in 86
Virginia 41401 1152 2.86 1338 57 4.45 3.23 4850.44 156.76 1 in 206
Louisiana 38802 305 0.79 2741 18 0.66 7.06 8346.68 589.62 1 in 120
Ohio 33915 476 1.42 2098 54 2.64 6.19 2901.42 179.48 1 in 345
Indiana 33068 631 1.95 2068 38 1.87 6.25 4911.90 307.18 1 in 204
North Carolina 25800 884 3.55 876 32 3.79 3.40 2459.93 83.52 1 in 407
Colorado 25107 353 1.43 1421 29 2.08 5.66 4359.81 246.76 1 in 229
Minnesota 22947 483 2.15 977 35 3.72 4.26 4068.88 173.24 1 in 246
Tennessee 21679 394 1.85 356 3 0.85 1.64 3172.61 52.10 1 in 315
Washington 20764 358 1.75 1106 11 1.00 5.33 2726.76 145.24 1 in 367
Iowa 18586 217 1.18 506 10 2.02 2.72 5890.84 160.38 1 in 170
Arizona 17877 559 3.23 860 26 3.12 4.81 2347.64 112.94 1 in 426
Wisconsin 16974 512 3.11 550 11 2.04 3.24 2915.28 94.46 1 in 343
Alabama 16530 498 3.11 591 8 1.37 3.58 3371.28 120.53 1 in 297
Rhode Island 14494 141 0.98 677 22 3.36 4.67 13681.83 639.06 1 in 73
Mississippi 14372 328 2.34 693 23 3.43 4.82 4829.06 232.85 1 in 207
Nebraska 13249 265 2.04 163 10 6.54 1.23 6849.12 84.26 1 in 146
Missouri 12981 165 1.29 708 19 2.76 5.45 2115.06 115.36 1 in 473
South Carolina 10788 165 1.55 470 4 0.86 4.36 2095.28 91.28 1 in 477
Kansas 9371 80 0.86 214 1 0.47 2.28 3216.61 73.46 1 in 311
Kentucky 9185 108 1.19 409 9 2.25 4.45 2055.88 91.55 1 in 486
Delaware 9171 75 0.82 345 1 0.29 3.76 9418.09 354.30 1 in 106
Utah 8921 215 2.47 106 1 0.95 1.19 2782.63 33.06 1 in 359
District of Columbia 8492 86 1.02 453 8 1.80 5.33 12032.61 641.87 1 in 83
Nevada 8248 98 1.20 406 4 1.00 4.92 2677.79 131.81 1 in 373
New Mexico 7364 112 1.54 335 6 1.82 4.55 3511.97 159.77 1 in 285
Arkansas 6538 261 4.16 125 5 4.17 1.91 2166.46 41.42 1 in 462
Oklahoma 6273 44 0.71 325 3 0.93 5.18 1585.30 82.13 1 in 631
South Dakota 4793 83 1.76 54 0 0.00 1.13 5417.91 61.04 1 in 185
New Hampshire 4389 103 2.40 232 9 4.04 5.29 3227.89 170.62 1 in 310
Oregon 4086 48 1.19 151 3 2.03 3.70 968.77 35.80 1 in 1032
Puerto Rico 3486 89 2.62 131 2 1.55 3.76 1091.53 41.02 1 in 916
Idaho 2770 71 2.63 82 1 1.23 2.96 1545.70 45.76 1 in 647
North Dakota 2481 42 1.72 57 1 1.79 2.30 3255.64 74.80 1 in 307
Maine 2189 52 2.43 84 3 3.70 3.84 1628.46 62.49 1 in 614
West Virginia 1935 36 1.90 74 0 0.00 3.82 1082.73 41.41 1 in 924
Vermont 974 3 0.31 55 1 1.85 5.65 1560.92 88.14 1 in 641
Wyoming 876 16 1.86 15 1 7.14 1.71 1513.58 25.92 1 in 661
Hawaii 647 3 0.47 17 0 0.00 2.63 456.96 12.01 1 in 2188
Montana 485 4 0.83 17 0 0.00 3.51 453.79 15.91 1 in 2204
Alaska 424 13 3.16 10 0 0.00 2.36 579.60 13.67 1 in 1725

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1876789 366733 19.54 96475.34
New Jersey 685857 157185 22.92 77217.11
Illinois 829966 115833 13.96 65496.98
California 1790559 103813 5.80 45316.58
Massachusetts 562323 94895 16.88 80915.57
Pennsylvania 427846 74220 17.35 33420.28
Texas 873218 60395 6.92 30115.24
Michigan 504458 56014 11.10 50512.19
Florida 951616 53285 5.60 44307.09
Maryland 274858 49709 18.09 45463.54
Georgia 444646 45266 10.18 41878.90
Connecticut 235525 41559 17.65 66060.60
Virginia 287281 41401 14.41 33657.12
Louisiana 393829 38802 9.85 84716.38
Ohio 360012 33915 9.42 30798.95
Indiana 242287 33068 13.65 35989.17
North Carolina 375192 25800 6.88 35773.17
Colorado 163123 25107 15.39 28326.18
Minnesota 225208 22947 10.19 39933.10
Tennessee 415989 21679 5.21 60877.86
Washington 335801 20764 6.18 44097.93
Iowa 142933 18586 13.00 45302.64
Arizona 202914 17877 8.81 26646.99
Wisconsin 237693 16974 7.14 40823.65
Alabama 200481 16530 8.25 40887.91
Rhode Island 140365 14494 10.33 132499.69
Mississippi 156497 14372 9.18 52583.72
Nebraska 92980 13249 14.25 48066.39
Missouri 171067 12981 7.59 27872.75
South Carolina 182249 10788 5.92 35396.99
Kansas 84488 9371 11.09 29000.65
Kentucky 182101 9185 5.04 40759.70
Delaware 56801 9171 16.15 58331.38
Utah 203507 8921 4.38 63477.75
District of Columbia 43514 8492 19.52 61656.48
Nevada 131190 8248 6.29 42592.00
New Mexico 179543 7364 4.10 85625.96
Arkansas 118902 6538 5.50 39399.90
Oklahoma 182406 6273 3.44 46097.38
South Dakota 39026 4793 12.28 44114.17
New Hampshire 65596 4389 6.69 48242.60
Oregon 119647 4086 3.42 28367.58
Puerto Rico 3486 3486 100.00 1091.53
Idaho 43875 2770 6.31 24482.93
North Dakota 68254 2481 3.63 89564.89
Maine 45669 2189 4.79 33974.55
West Virginia 90315 1935 2.14 50535.85
Vermont 31152 974 3.13 49923.96
Wyoming 23160 876 3.78 40016.66
Hawaii 51839 647 1.25 36612.77
Montana 36793 485 1.32 34425.30
Alaska 47970 424 0.88 65573.55

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 59546 2598 4.56 18616 31.26 38948 1982 85 4.48 3.33
Tamil Nadu 19372 827 4.46 10548 54.45 8676 148 12 8.82 0.76
Delhi 16281 1024 6.71 7495 46.04 8470 316 13 4.29 1.94
Gujarat 15572 367 2.41 8003 51.39 6609 960 22 2.35 6.16
Rajasthan 8067 251 3.21 4815 59.69 3072 180 8 4.65 2.23
Madhya Pradesh 7453 192 2.64 4050 54.34 3082 321 8 2.56 4.31
Uttar Pradesh 7170 179 2.56 4215 58.79 2758 197 15 8.24 2.75
State Unassigned 4673 341 7.87 0 0.00 4673 0 0 NaN 0.00
West Bengal 4536 344 8.21 1668 36.77 2573 295 6 2.08 6.50
Andhra Pradesh 3245 128 4.11 2133 65.73 1053 59 1 1.72 1.82
Bihar 3185 149 4.91 1050 32.97 2120 15 0 0.00 0.47
Karnataka 2533 115 4.76 818 32.29 1666 47 0 0.00 1.86
Telangana 2256 158 7.53 1345 59.62 844 67 4 6.35 2.97
Punjab 2158 19 0.89 1946 90.18 172 40 0 0.00 1.85
Jammu and Kashmir 2036 115 5.99 859 42.19 1150 27 1 3.85 1.33
Odisha 1660 67 4.21 887 53.43 766 7 0 0.00 0.42
Haryana 1504 123 8.91 881 58.58 604 19 1 5.56 1.26
Kerala 1089 85 8.47 555 50.96 526 8 1 14.29 0.73
Assam 881 97 12.37 104 11.80 770 4 0 0.00 0.45
Uttarakhand 500 31 6.61 79 15.80 414 4 0 0.00 0.80
Jharkhand 470 12 2.62 191 40.64 275 4 0 0.00 0.85
Chhattisgarh 398 34 9.34 83 20.85 315 0 0 NaN 0.00
Chandigarh 289 11 3.96 189 65.40 96 4 0 0.00 1.38
Himachal Pradesh 281 8 2.93 73 25.98 199 6 0 0.00 2.14
Tripura 244 2 0.83 167 68.44 77 0 0 NaN 0.00
Ladakh 74 20 37.04 43 58.11 31 0 0 NaN 0.00
Goa 69 1 1.47 38 55.07 31 0 0 NaN 0.00
Manipur 55 11 25.00 4 7.27 51 0 0 NaN 0.00
Puducherry 53 4 8.16 17 32.08 36 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 21 1 5.00 12 57.14 8 1 0 0.00 4.76
Nagaland 18 9 100.00 0 0.00 18 0 0 NaN 0.00
Arunachal Pradesh 3 1 50.00 1 33.33 2 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 2 0 0.00 1 50.00 1 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Sikkim 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 713068 88183 382 0.44 12.37 3470 173 22913 15974 18.11
Piemonte 304358 30445 58 0.19 10.00 1058 64 6072 3838 12.61
Emilia-Romagna 310696 27701 74 0.27 8.92 449 77 3750 4094 14.78
Veneto 632124 19125 12 0.06 3.03 148 9 2025 1898 9.92
Toscana 242687 10086 4 0.04 4.16 126 27 1380 1029 10.20
Liguria 100625 9605 16 0.17 9.55 198 13 1145 1445 15.04
Lazio 245993 7693 21 0.27 3.13 1035 64 3405 708 9.20
Marche 100110 6719 1 0.01 6.71 79 13 1346 997 14.84
Campania 189068 4777 4 0.08 2.53 260 6 1012 410 8.58
Puglia 111946 4481 2 0.04 4.00 164 16 1395 496 11.07
P.A. Trento 83018 4425 3 0.07 5.33 17 3 458 462 10.44
Sicilia 142516 3438 3 0.09 2.41 72 8 1145 272 7.91
Friuli Venezia Giulia 126015 3262 7 0.22 2.59 51 1 336 333 10.21
Abruzzo 71788 3237 2 0.06 4.51 128 3 824 402 12.42
P.A. Bolzano 63289 2595 2 0.08 4.10 16 5 157 291 11.21
Umbria 67458 1431 0 0.00 2.12 14 2 33 75 5.24
Sardegna 54587 1355 0 0.00 2.48 38 2 200 130 9.59
Valle d’Aosta 14653 1182 1 0.08 8.07 16 0 23 143 12.10
Calabria 66956 1158 0 0.00 1.73 31 1 170 96 8.29
Molise 13847 435 1 0.23 3.14 3 2 163 22 5.06
Basilicata 28342 399 0 0.00 1.41 6 0 34 27 6.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 49711 563 1.15 4303 74 1.75 8.66 5822.55 504.00 1 in 172
Ontario 28320 377 1.35 2292 28 1.24 8.09 1924.98 155.79 1 in 519
Alberta 6955 29 0.42 143 2 1.42 2.06 1575.97 32.40 1 in 635
British Columbia 2558 8 0.31 164 2 1.23 6.41 500.50 32.09 1 in 1998
Nova Scotia 1055 2 0.19 59 0 0.00 5.59 1079.33 60.36 1 in 926
Saskatchewan 639 2 0.31 10 0 0.00 1.56 540.76 8.46 1 in 1849
Manitoba 294 2 0.68 7 0 0.00 2.38 213.43 5.08 1 in 4685
Newfoundland and Labrador 261 1 0.38 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 126 3 2.44 0 0 NaN 0.00 161.54 0.00 1 in 6190
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1592 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1066 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 671 7 1.04
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 564 3 0.53
Fujian 358 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 232 1 0.43
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 5262.08 310.56 1 in 190
Brazil 2093.83 127.83 1 in 478
Russia 2623.19 28.66 1 in 381
United Kingdom 4071.46 570.73 1 in 246
Spain 5098.71 581.20 1 in 196
Italy 3831.55 547.98 1 in 261
France 2781.97 427.90 1 in 359
Germany 2200.70 102.31 1 in 454
India 123.51 3.52 1 in 8096
Turkey 1992.07 55.20 1 in 502
Iran 1772.41 93.97 1 in 564
Peru 4407.18 127.42 1 in 227
Canada 2393.62 185.74 1 in 418
Chile 4816.79 49.31 1 in 208
China 60.68 3.35 1 in 16479
Mexico 630.03 70.00 1 in 1587
Saudi Arabia 2434.27 13.39 1 in 411
Pakistan 310.80 6.40 1 in 3218
Belgium 5074.47 823.51 1 in 197
Qatar 19292.91 12.50 1 in 52

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 201051 21415 10.65
Cook Illinois 75306 3519 4.67
Los Angeles California 49860 2241 4.49
Nassau New York 40140 2114 5.27
Suffolk New York 39359 1871 4.75
Westchester New York 33293 1357 4.08
Philadelphia Pennsylvania 22150 1282 5.79
Middlesex Massachusetts 20857 1564 7.50
Wayne Michigan 20059 2410 12.01
Hudson New Jersey 18660 1161 6.22
Bergen New Jersey 18158 1553 8.55
Suffolk Massachusetts 17698 852 4.81
Essex New Jersey 17516 1636 9.34
Miami-Dade Florida 17396 669 3.85
Passaic New Jersey 15959 903 5.66
Middlesex New Jersey 15633 968 6.19
Union New Jersey 15475 1047 6.77
Fairfield Connecticut 15353 1246 8.12
Prince George’s Maryland 14508 530 3.65
Essex Massachusetts 13899 895 6.44
Rockland New York 13076 626 4.79
Harris Texas 11770 224 1.90
New Haven Connecticut 11198 946 8.45
Providence Rhode Island 10968 0 0.00
Montgomery Maryland 10752 581 5.40
Worcester Massachusetts 10713 738 6.89
Fairfax Virginia 10503 371 3.53
Orange New York 10325 443 4.29
Hartford Connecticut 10078 1208 11.99
Dallas Texas 9587 222 2.32
Marion Indiana 9524 558 5.86
Maricopa Arizona 8896 403 4.53
Ocean New Jersey 8577 711 8.29
District of Columbia District of Columbia 8492 453 5.33
Oakland Michigan 8281 971 11.73
Monmouth New Jersey 8012 578 7.21
Lake Illinois 7933 281 3.54
King Washington 7923 562 7.09
Norfolk Massachusetts 7919 799 10.09
Plymouth Massachusetts 7724 539 6.98
Hennepin Minnesota 7695 581 7.55
DuPage Illinois 7460 350 4.69
Jefferson Louisiana 7424 441 5.94
Riverside California 7341 313 4.26
San Diego California 7100 260 3.66
Orleans Louisiana 7067 505 7.15
Milwaukee Wisconsin 6952 285 4.10
Broward Florida 6870 307 4.47
Bristol Massachusetts 6852 399 5.82
Montgomery Pennsylvania 6811 656 9.63

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc